Docker MCQs – Docker in Production

Using Docker in production environments requires in-depth knowledge of best practices for scaling, security, monitoring, and orchestration. This topic focuses on optimizing containerized applications for real-world usage, ensuring efficiency, reliability, and scalability.

The following MCQs are designed to help you gain expertise in Docker’s production best practices, preparing you for advanced interviews and real-world scenarios.

1.) What is the primary goal of using Docker in production?

A) To develop code faster
B) To streamline and standardize deployments
C) To replace virtual machines entirely
D) To save disk space

Answer: Option B

Explanation: Docker in production is primarily used to streamline and standardize the deployment process, ensuring consistent environments across development, staging, and production.

2.) What is the recommended way to store sensitive information like passwords in Docker production environments?

A) Store them directly in the Dockerfile
B) Use environment variables
C) Use Docker Secrets
D) Hard-code them into the application code

Answer: Option C

Explanation: Docker Secrets provides a secure way to store and manage sensitive information, such as passwords and API keys, in production environments.

3.) Which of the following is a common orchestration tool used with Docker in production?

A) Kubernetes
B) Jenkins
C) Ansible
D) Terraform

Answer: Option A

Explanation: Kubernetes is a widely used orchestration tool for managing Docker containers in production, ensuring scalability, high availability, and automation.

4.) What is the main purpose of resource limits in Docker?

A) To prevent container logs from exceeding a size limit
B) To ensure fair resource allocation across containers
C) To encrypt communication between containers
D) To reduce image size

Answer: Option B

Explanation: Resource limits ensure fair allocation of system resources (e.g., CPU and memory) across containers, preventing any single container from monopolizing resources.

5.) Which Docker logging driver is commonly used in production for centralized log management?

A) JSON-file
B) syslog
C) Fluentd
D) none

Answer: Option C

Explanation: Fluentd is a popular logging driver for centralized log management, allowing logs to be collected and analyzed from multiple containers.

6.) What does the docker checkpoint feature do?

A) Creates a snapshot of a container’s runtime state
B) Monitors resource usage of a container
C) Creates a backup of a container’s state
D) Restarts a container automatically

Answer: Option A

Explanation: Docker’s checkpoint feature creates a snapshot of a container’s runtime state, allowing it to be paused and resumed later.

7.) Which is a best practice for updating a Docker container in production?

A) Modify the container directly using exec
B) Pull the latest image and restart the container
C) Create a new container with the updated image and replace the old one
D) Update the container’s base image

Answer: Option C

Explanation: The best practice is to create a new container with the updated image and replace the old one, ensuring a clean and consistent update process.

8.) What is the default logging driver in Docker?

A) JSON-file
B) syslog
C) Fluentd
D) Journald

Answer: Option A

Explanation: The default logging driver in Docker is JSON-file, which stores logs in JSON format.

9.) What is Docker’s Content Trust?

A) A method for container encryption
B) A feature for image signing and verification
C) A logging tool
D) A resource monitoring tool

Answer: Option B

Explanation: Docker Content Trust ensures image authenticity through signing and verification.

10.) Why is it recommended to use read-only containers in production?

A) To improve container build times
B) To enforce immutability and enhance security
C) To reduce the size of the image
D) To simplify debugging

Answer: Option B

Explanation: Read-only containers enforce immutability, preventing unauthorized changes to the container’s filesystem, which enhances security in production.

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